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Objectives The present study aimed to compare the diagnostic performance of a machine learning (ML)–based FFRCT algorithm, quantified subtended myocardial volume, and high-risk plaque features for predicting if a coronary stenosis is hemodynamically significant, with reference to FFRICA. Methods Patients who underwent both CCTA and FFRICA measurement within 2 weeks were retrospectively included...
Objectives To investigate the diagnostic performance of coronary CT angiography derived from dynamic CT myocardial perfusion imaging (CCTACT-MPI) by third-generation dual-source CT with reference to invasive coronary angiography (ICA). Materials and methods Patients with acute myocardial infarction and those who received successful reperfusion treatment were prospectively enrolled. Emergent ICA...
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